How to use the sunpy.map.Map function in sunpy

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github mbobra / calculating-spaceweather-keywords / calculate_swx_fits.py View on Github external
sys.exit(1)

    try:
        conf_disambig_map = sunpy.map.Map(file_conf_disambig)
    except:
        print("Could not open the conf_disambig fits file")
        sys.exit(1)

    try:
        bitmap_map = sunpy.map.Map(file_bitmap)
    except:
        print("Could not open the bitmap fits file")
        sys.exit(1)

    try:
        los_map = sunpy.map.Map(file_los)
    except:
        print("Could not open the LoS fits file")
        sys.exit(1)
        
    # get metadata
    header = bz.meta
    
    # get array data
    bz                = bz_map.data
    by                = by_map.data
    bx_map            = bx_map.data
    bz_err_map        = bz_err_map.data
    by_err_map        = by_err_map.data
    bx_err_map        = bx_err_map.data
    conf_disambig_map = conf_disambig_map.data
    bitmap_map        = bitmap_map.data
github mbobra / calculating-spaceweather-keywords / calculate_swx_fits.py View on Github external
sys.exit(1)

    try:
        bz_err_map = sunpy.map.Map(file_bz_err)
    except:
        print("Could not open the bz_err fits file")
        sys.exit(1)

    try:
        by_err_map = sunpy.map.Map(file_by_err)
    except:
        print("Could not open the by_err fits file")
        sys.exit(1)

    try:
        bx_err_map = sunpy.map.Map(file_bx_err)
    except:
        print("Could not open the bx_err fits file")
        sys.exit(1)

    try:
        conf_disambig_map = sunpy.map.Map(file_conf_disambig)
    except:
        print("Could not open the conf_disambig fits file")
        sys.exit(1)

    try:
        bitmap_map = sunpy.map.Map(file_bitmap)
    except:
        print("Could not open the bitmap fits file")
        sys.exit(1)
github mbobra / calculating-spaceweather-keywords / calculate_swx_fits.py View on Github external
sys.exit(1)

    try:
        by_err_map = sunpy.map.Map(file_by_err)
    except:
        print("Could not open the by_err fits file")
        sys.exit(1)

    try:
        bx_err_map = sunpy.map.Map(file_bx_err)
    except:
        print("Could not open the bx_err fits file")
        sys.exit(1)

    try:
        conf_disambig_map = sunpy.map.Map(file_conf_disambig)
    except:
        print("Could not open the conf_disambig fits file")
        sys.exit(1)

    try:
        bitmap_map = sunpy.map.Map(file_bitmap)
    except:
        print("Could not open the bitmap fits file")
        sys.exit(1)

    try:
        los_map = sunpy.map.Map(file_los)
    except:
        print("Could not open the LoS fits file")
        sys.exit(1)
github mbobra / calculating-spaceweather-keywords / calculate_swx_fits.py View on Github external
sys.exit(1)

    try:
        by_map = sunpy.map.Map(file_by)
    except:
        print("Could not open the by fits file")
        sys.exit(1)

    try:
        bx_map = sunpy.map.Map(file_bx)
    except:
        print("Could not open the bx fits file")
        sys.exit(1)

    try:
        bz_err_map = sunpy.map.Map(file_bz_err)
    except:
        print("Could not open the bz_err fits file")
        sys.exit(1)

    try:
        by_err_map = sunpy.map.Map(file_by_err)
    except:
        print("Could not open the by_err fits file")
        sys.exit(1)

    try:
        bx_err_map = sunpy.map.Map(file_bx_err)
    except:
        print("Could not open the bx_err fits file")
        sys.exit(1)
github sunpy / sunkit-image / examples / remove_CR_hits.py View on Github external
# This particular image has lots of high intensity cosmic ray hits which
# cannot be effectively removed by using the default set of parameters.
# So we reduce ``sigclip``, the Laplacian to noise ratio from 4.5 to 2 to mark more hits.
# We also reduce ``objlim``, the contrast between the Laplacian image and the fine structured image
# to clean the high intensity bright cosmic ray hits.
# We also modify the ``readnoise`` parameter to obtain better results.

mask, clean_data = astroscrappy.detect_cosmics(lasco_map.data, sigclip=2, objlim=2, readnoise=4, verbose=True)
# This returns two variables - mask is a boolean array depicting whether there is
# a cosmic ray hit at that pixel, clean_data is the cleaned image after removing those
# hits.

###############################################################################
# We can now plot the cleaned image.

clean_map1 = Map(clean_data, lasco_map.meta)

fig2 = plt.figure()
clean_map1.plot()

plt.show()